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KennethTM/gpt2-medium-danish-review-response
gpt2-medium-danish-review-response is a text generation model from KennethTM. Use it when you need the model to write or continue text. It is set up for transformers.
A fine-tuned GPT-2 model (medium version, ~354.8 M parameters) for generating responses to customer reviews in Danish.
Downloads · 30 days
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23% of all-time downloads
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355M
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From the Hugging Face model README
A fine-tuned GPT-2 model (medium version, ~354.8 M parameters) for generating responses to customer reviews in Danish.
The model is based on the gpt2-medium-danish model and performs better than the smaller version (gpt2-small-danish-review-response). Supervised fine-tuning is applied to adapt the model to generate responses to customer reviews in Danish. A prompting template is applied to the examples used for training (see the example below).
Test the model using the pipeline from the 🤗 Transformers library:
from transformers import pipeline
generator = pipeline("text-generation", model = "KennethTM/gpt2-medium-danish-review-response")
def prompt_template(user, review):
return f"### Bruger:\n{user}\n\n### Anmeldelse:\n{review}\n\n### Svar:\nKære {user}\n"
prompt = prompt_template(user = "Anders", review = "Umuligt at komme igennem på telefonen.")
text = generator(prompt)
print(text[0]["generated_text"])
Or load it using the Auto* classes:
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("KennethTM/gpt2-medium-danish-review-response")
model = AutoModelForCausalLM.from_pretrained("KennethTM/gpt2-medium-danish-review-response")